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最新的 CMA CPCM Category-Manager 免費考試真題 (Q32-Q37):

問題 #32
What does the Product Demographic Affinity Profile (PDAP) Index measure?

  • A. The likelihood of a product succeeding in a new market.
  • B. The strength of a demographic group's preference for a product or category compared to the general population.
  • C. The total sales of a product to all demographic groups.
  • D. The percentage of a product's sales within a specific region.

答案：B

解題說明：
The correct answer is A .
The Product Demographic Affinity Profile (PDAP) Index measures how strongly a product or category aligns with a demographic group compared with the general population. In store clustering, this is critical because it links product demand to the demographic makeup around each store. ARC's category-specific store clustering guidance identifies PDAP as the step where product sales and total sales by demographic are analyzed to understand product affinity.
Option A is therefore the best answer because it captures the comparative nature of the index: it is not just raw sales; it is the strength of preference relative to the broader population.
Option B is wrong because total sales by demographic does not itself measure affinity. Option C is too broad because product success in a new market would require demand, competition, pricing, distribution, and execution analysis. Option D is regional sales mix, not demographic affinity.


問題 #33
What is NOT an example of how good storytelling enhances memory and engagement?

  • A. Initiates neurons in their brain to fire in the same pattern as the speaker's-known as 'neural coupling'.
  • B. Uses complex language to sound more intellectual.
  • C. Engages them emotionally, moving them to action.
  • D. A good story = brain candy.

答案：B

解題說明：
The correct answer is C .
Good storytelling does not rely on complex language to sound intellectual. That usually makes the message harder to understand and reduces audience engagement. CMKG states that fact-based presentations need logic, flow, relevancy, and focus on the target audience. It also warns that strong ideas can get lost when the presentation lacks clarity, relevance, or direction.
Option A is a valid storytelling benefit because emotional engagement helps move the audience toward action. Option B is also valid: neuroscience research on speaker-listener neural coupling shows that effective communication involves aligned response patterns between speaker and listener, which supports the idea that stories can improve attention and comprehension. Option D is informal wording, but it supports the same principle: good stories are easier for the brain to process, remember, and act on. The only clearly incorrect behavior is using complex language merely to sound smarter.


問題 #34
Define Share of Wallet (SOW) for a retailer.

  • A. The proportion of a customer's total spending within a specific product category that goes to a particular retailer, as opposed to competitors, over a given timeframe.
  • B. The proportion of a customer's total spending within a specific product category that is spent in the marketplace.
  • C. The proportion of shoppers who enter a store and proceed to make a purchase in a specific category in a single trip.
  • D. The proportion of shoppers who enter a store and proceed to make a purchase in a specific category over a given timeframe.

答案：A

解題說明：
The correct answer is B .
Share of Wallet is a retailer shopper-performance measure. It looks at how much of a shopper's total category spending is captured by one retailer versus competing retailers. The CPCM material places this type of analysis inside consumer/shopper analytics, where household panel data is used to understand consumer behavior and the dynamics that drive category and brand performance. The official CPCM course description states that household panel data helps teams "get a clear picture of consumer behavior" and adjust strategies around the consumer dynamics driving category performance.
Option A describes buyer conversion or shopping conversion, not share of wallet. Option C is incomplete because it only says spending in the marketplace; SOW must identify how much of that spend goes to the specific retailer. Option D is also conversion-based because it focuses on shoppers entering a store and buying in a single trip.


問題 #35
Using the chart, what is the most complete insight for Mid-Mart regarding the Snack Category?

  • A. The Snack Category is 5.0 points behind the Total Store.
  • B. The Snack Category is 5.0 points behind the Total Store and represents a $10,000 opportunity.
  • C. The Snack Category is 5.0 points behind the Total Store driven by the AO Grocery Channel and represents a $10,000 opportunity.
  • D. The Snack Category is 5.0 points behind the Total Store driven by the Club Channel and represents a
    $10,000 opportunity.

答案：D

解題說明：
The correct answer is A .
The CPCM course emphasizes turning data into insights and then into action. It states that category managers must draw insights from data, understand tactical analysis, and identify category opportunities that can be acted on through category tactics. This question is testing exactly that: not just calculating the gap, but identifying the gap, the source of the gap, and the dollar opportunity.
From the chart:
Mid-Mart ACV share = 25.0%
Mid-Mart Snack share = 20.0%
So Mid-Mart is:
25.0% - 20.0% = 5.0 points behind Total Store
The total Snack market is $200,000 . If Mid-Mart achieved its fair share of Snacks based on its 25% Total Store ACV share, expected Snack sales would be:
$200,000 × 25% = $50,000
Actual Mid-Mart Snack sales are:
$40,000
So the opportunity is:
$50,000 - $40,000 = $10,000
The driver is the Club Channel , because Club has 25% ACV share but 30% Snack share. Club is 5 points over fair share, while AO Grocery is exactly aligned at 50% ACV share and 50% Snack share. Therefore, the most complete insight is that Mid-Mart is 5.0 points behind Total Store, the gap is driven by the Club Channel, and the opportunity is $10,000.


問題 #36
Which of the following is the first step in the multivariate clustering process?

  • A. Identify product demographic affinity profiles
  • B. Create clusters based on relevancy and opportunity
  • C. Identify store-level demographic profiles
  • D. Calculate product demand potential

答案：A

解題說明：
The correct answer is A .
The multivariate store clustering process starts by identifying the Product Demographic Affinity Profile , because the analyst first needs to understand which demographic groups have the strongest relationship or affinity with the product/category being studied. ARC's category-specific store clustering guidance identifies
"Identify the Product Demographic Affinity Profile (PDAP)" as a core step and then moves into calculating product demand potential.
This sequence matters. You cannot calculate demand potential correctly until you understand the demographic profile that is most relevant to the product or category. Once the product's demographic affinity is known, the analyst can compare that profile to store-level demographic profiles and then create meaningful clusters based on demand and opportunity.
Option B is later in the process because clusters are created after the relevant product and store-level measures are understood. Option C is important, but it follows the product affinity logic. Option D also comes after identifying the demographic affinity profile.


問題 #37
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